The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Survival Analysis Part III: Multivariate data analysis – choosing a model and assessing its adequacy and fit
Open accessAbstract
In this series of papers, we have described a selection of statistical methods used for the initial analysis of survival time data ( Clark et al, 2003 ), and introduced a selection of more advanced methods to deal with the situation where several factors impact on the survival process ( Bradburn et al, 2003 ). The latter paper focused on proportional hazards (PH) and accelerated failure time (AFT) models, and we continue the series by demonstrating the application of these models in more detail. Whereas the focus of the previous paper was to outline the purpose and interpretation of statistical models for survival analysis, we concentrate here on approaches with which to undertake the actual modelling process. In other words, the aim of this paper is to promote the correct use of the models that have been suggested for the analysis of survival data.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Proportional hazards tests and diagnostics based on weighted residuals
GRAMBSCH, P. M., & THERNEAU, T. M. (1994) · Biometrika · doi:10.1093/biomet/81.3.515 · Cited by 5,885
Peduzzi, P., Concato, J., Feinstein, A. R., & Holford, T. R. (1995) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(95)00048-8 · Cited by 2,154
Survival analysis part II: multivariate data analysis – an introduction to concepts and methods
Bradburn, M. J., Clark, T. G., Love, S. B., & Altman, D. G. (2003) · British Journal of Cancer · doi:10.1038/sj.bjc.6601119 · Cited by 741 · cited 14×
“607 British Journal of Cancer (2003) 89(4), 605 – 611& 2003 Cancer Research UK improve the fit to a significant degree.”
BackgroundMethodInfluentialSelf-citation
Cited by
Moons, K. G. M., Altman, D. G., Reitsma, J. B., Ioannidis, J. P. A., Macaskill, P., Steyerberg, E. W., Vickers, A. J., Ransohoff, D. F., & Collins, G. S. (2015) · Annals of Internal Medicine · doi:10.7326/m14-0698 · Cited by 5,147
Self-citationMcCowan, C., Shearer, J., Donnan, P. T., Dewar, J. A., Crilly, M., Thompson, A. M., & Fahey, T. P. (2008) · British Journal of Cancer · doi:10.1038/sj.bjc.6604758 · Cited by 343
Ramakrishnan, R., Doherty, A., Smith-Byrne, K., Rahimi, K., Bennett, D., Woodward, M., Walmsley, R., & Dwyer, T. (2021) · PLOS Medicine · doi:10.1371/journal.pmed.1003487 · Cited by 183
Evaluation and comparison of multi-omics data integration methods for cancer subtyping
Duan, R., Gao, L., Gao, Y., Hu, Y., Xu, H., Huang, M., Song, K., Wang, H., Dong, Y., Jiang, C., et al. (2021) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1009224 · Cited by 122
Economic Evaluation of Policy Options for Prevention and Control of Cervical Cancer in Thailand
Praditsitthikorn, N., Teerawattananon, Y., Tantivess, S., Limwattananon, S., Riewpaiboon, A., Chichareon, S., Ieumwananonthachai, N., & Tangcharoensathien, V. (2011) · PharmacoEconomics · doi:10.2165/11586560-000000000-00000 · Cited by 79
Metadata
- Authors
- Bradburn, M. J., Clark, T. G., Love, S. B., & Altman, D. G.
- Venue
- British Journal of Cancer
- Published
- 2003-08
- Volume
- 89
- Issue
- 4
- Pages
- 605-611
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W2135032122
- Cited by
- 390
- References
- 4
- FWCI
- 4.56
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Survival Analysis Part III: Multivariate data analysis – choosing a model and assessing its adequacy and fit. https://app.cochat.ai/papers/10.1038/sj.bjc.6601120
- The paper
- Bradburn, M. J., Clark, T. G., Love, S. B., & Altman, D. G. (2003). Survival Analysis Part III: Multivariate data analysis – choosing a model and assessing its adequacy and fit. British Journal of Cancer. https://doi.org/10.1038/sj.bjc.6601120
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
